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DATPROF vs Open Diffix

Both stand on data masking software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

DATPROF

Free trial APILinuxSelf-hosted+2

DATPROF brings masking, subsetting, and provisioning into one test data management platform. Teams should request pricing and confirm that its database and file support matches their environment.

Visit DATPROF

Open Diffix

Free plan APILinuxMac+2

Choose Open Diffix if you need open-source synthetic data for structured-data analysis, especially descriptive analytics and task-specific datasets. Look elsewhere if you need distributable blobs at scale beyond about 10 columns or a flexible PostgreSQL anonymization extension, since pg_diffix is limited and its development is paused.

Visit Open Diffix

The facts

DATPROFOpen Diffix
Free planNot publishedYes
Open sourceNot publishedNot published
Runs onAPI, Linux, Self-hosted, Web, WindowsAPI, Linux, Mac, Self-hosted, Windows
Lowest paid planFree or on requestNot published
Plans published1None
MakerNot publishedNot published
Websitedatprof.comopen-diffix.org
On data masking software#13 of 26#9 of 26

DATPROF: what it does well

  • Includes more than 50 synthetic data generators.
  • Subset preserves referential integrity.
  • Runtime supports REST API automation.
  • Can be used on premise or in the cloud.
  • Free trial is available.

What to know first

  • Pricing is available on request.
  • The listed target is complex, regulated environments.
  • No fixed plan price is listed.

Open Diffix: what it does well

  • Generates statistically accurate synthetic data with strong anonymity.
  • Supports descriptive analytics including counts, averages, and correlations.
  • Can tailor separate synthetic tables to different analytic tasks.
  • Open source and free, with API and self-hosted availability.
  • SynDiffix installs with pip on Python 3.10 or later.

What to know first

  • Distributable blobs currently do not scale well beyond about 10 columns.
  • Entity identifiers must be supplied separately for multi-row protected entities.
  • pg_diffix development is currently paused.
  • pg_diffix supports only a very limited subset of SQL queries.

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